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Data Driven Differentiation in the Standards-Based Classroom

Data Driven Differentiation in the Standards-Based Classroom

Second Edition

June 2014 | 248 pages | Corwin
Collect the data you need to reach every student!

When it comes to meeting the rigorous new standards of the Common Core Curriculum, knowing how to collect, analyze, and use data makes all the difference. Fully updated to support the Common Core and other key standards, this informative book shares an author with the best-selling Differentiated Instructional Strategies: One Size Doesn’t Fit All.

Veteran educators Gregory and Kuzmich provide user-friendly techniques for gathering qualitative and quantitative information, helping you tailor instruction and assessment for diverse learners. This resource is ideal for classroom teachers, curriculum developers, instructional leaders, and district administrators. Readers will find:

  • Step-by-step guidance on gathering data to improve classroom dynamics, pinpoint student learning styles, adjust lessons for different learners, and inform diagnostic teaching and assessment
  • Techniques for using data to enhance curriculum, including numerous unit and lesson plans fully linked to the Common Core
  • A wealth of templates for fast and simple data collection
  • Updated differentiation strategies for the Common Core and other key standards, including the Career and College Readiness Standards and the Standards of Mathematical Practice 

Collect data with ease and discover new tools for differentiated teaching and learning!

Praise for the First Edition:
“This book reconciles meeting children’s affective needs with the new accountability requirements from the federal and state government. The title may sound daunting, but the chapters are extremely accessible.”

—Maria Elena Reyes, Associate Professor
University of Alaska Fairbanks

About the Authors
Introduction: Differentiating With Data for Student Growth and Achievement
What Is Our Target?

Challenges and Shifts Presented by the Common Core State Standards

Why Differentiate?

Theaters of the Mind: Learning Systems and the Brain

Learning Systems and Student Growth

Connecting Data to Learning

Using Classroom Data to Plan Differentiated Instructional Strategies

Targeting Growth for All Students

1. Collecting Data to Create a Positive Classroom Climate
Positive Classroom Connections

Assessing the Learning Environment

Using Feedback

Ritual, Respect, and Cultural History

Differentiating Classroom Climate

Differentiating Celebration and Praise


2. Collecting Data to Know the Learner
Going With the Flow

Learning Profiles

Different Learning Preferences

Different Intelligences

Student Contracting for Reflective Learning

Gender Differences

Cultural Differences

Pop Culture Differences

21st Century Learners and Technology


3. Collecting and Using Assessment Data for Diagnostic Teaching
Diagnostic Teaching


Formative Assessment

Final Assessment

Assessing Our Assessments


4. Curriculum Approaches for Data Driven Instruction
Curriculum Mapping and Data Driven Instruction

Standards-Based Unit Planning: Sample Math Unit on Data Analysis and Probability, "The Survey Says . . . ," Grades 3 to 5

Critical Questions for Unit Planning

Pre-Assessing the Learning Gap for Unit Planning

Chunking the Learning


Other Sample Unit Plans

The Weather Reporter, Grades K to 2

Do You Know Your Rights? Grades 5 to 8

Argumentation Writing--Convince Me! Grades 9 to 12

5. Adjustable Assignments for Differentiated Learning
Options for Differentiated Learning

Adjustable Learning Grids

Adjustable Learning Elements

Flexible Grouping

Differentiating Pairs

Differentiating Small Groups


6. Instructional Strategies That Increase Student Learning
The Art and Science of Teaching

Memory Processes and the Cognitive Learning System

Differentiating Instructional Strategies

Cooperative Group Learning

Nonlinguistic Representations

Summarizing and Note Taking

Homework and Practice

Recognizing Similarities and Differences/Using Metaphors and Analogies


7. Data Driven Lesson Planning for Differentiated Learning
Using Data for Lesson Planning

Essential Elements for Data Driven Lesson Planning

Chunking the Learning for Sample Unit Plans


Conclusion: Putting It All Together for Student Growth and Achievement
How Do We Do All This Without Running From the Room Screaming?

What Can We Learn From the Errors and Successes of the Best Teachers?

What Are the Major Changes With Common Core State Standards?

Why Is It Always About the Student?

Key features
  • By the author of Corwin's best-selling Differentiated Instructional Strategies: One Size Doesn't Fit All
  • Step-by-step guide to collecting and using data to plan standards-based instruction in the differentiated K-12 classroom.
  • Comprehensive scope covers research base, data-collection methods and tools, and applications for lesson planning and student assessment before, during, and after instruction.
  • Ideal for classroom teachers, curriculum developers, instructional leaders, and district administrators with accountability for demonstrating what students know and can do.
  • Includes four detailed sample units that take the readers through every step of the process.
  • Includes a comprehensive collection of reproducibles and samples for data collection, lesson planning, and student assessments before, during, and after instruction. 

Sample Materials & Chapters

Table of Contents


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ISBN: 9781483353807

ISBN: 9781483332499

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